Perusha's Projects
Reinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks
The 3rd edition of course.fast.ai
Deploying trained model with widgets using Binder and Voila
Using the Google Prediction APIs
Doug Sillars Image optimization
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
Notes from Coursera ML Course
Using dm_control's soccer and SB3
Code samples for ML Intro Talk
website
Utils written during ML Course
OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
The OpenMined Unity Application
A course in reinforcement learning in the wild
Jon Dinu's Intro to Spark course with my added comments and notes
Encrypted Deep Learning Library
Python ML Snippets and Udacity exercises
This repo is for members of the rl-implementation channel on MLC Discord to play with RL algorithms and learn.
This repo is for members of the rl-implementation channel on MLC Discord to play with RL algorithms and learn.
rl algos
GCP Speech API Samples
TF basics
Android Kotlin projects
UoR Bayesian Modelling Course with R and Stan
Coding up variants of VAEs with RL algos